• DocumentCode
    28161
  • Title

    Enhancement of Backlight-Scaled Images

  • Author

    Tai-Hsiang Huang ; Kuang-Tsu Shih ; Su-Ling Yeh ; Chen, He Henry

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    22
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4587
  • Lastpage
    4597
  • Abstract
    Switching the liquid crystal display (LCD) backlight of a portable multimedia device to a low power level saves energy but results in poor image quality especially for the low-luminance image areas. In this paper, we propose an image enhancement algorithm that overcomes such effects of dim LCD backlight by taking the human visual property into consideration. It boosts the luminance of image areas below the perceptual threshold while preserving the contrast of the other image areas. We apply the just noticeable difference theory and decompose an image into an HVS response layer and a background luminance layer. The boosting and compression processes, which enhance the visibility of the low-luminance image areas, are carried out in the background luminance layer to avoid luminance gradient reversal and over-compensation. The contrast of the processed image is further enhanced by exploiting the Craik-O´Brein-Cornsweet visual illusion. Experimental results are provided to show the performance of the proposed algorithm.
  • Keywords
    brightness; data compression; image colour analysis; image enhancement; liquid crystal displays; low-power electronics; Craik-O´Brein-Cornsweet visual illusion; HVS response layer; background luminance layer; backlight-scaled images; boosting process; compression processes; dim LCD backlight; energy saving; human visual property; image areas contrast; image decomposition; image enhancement algorithm; image quality; just noticeable difference theory; liquid crystal display backlight; low power level; low-luminance image areas; perceptual threshold; portable multimedia device; Boosting; Educational institutions; Image coding; Image color analysis; Image quality; Predictive models; Visualization; JND; LCD backlight; ambient light; contrast; human visual system; image enhancement;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2013.2272517
  • Filename
    6555822